Julia Fuchs

3.1k citations
60 papers · 2.2k · h-index 25

Impact in

  • Neurology top 1%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Neurological diseases and metabolism
    • Nuclear Receptors and Signaling
    • Nerve injury and regeneration

Papers in

Julia Fuchs

60 papers receiving 2.2k citations

Peers

Julia Fuchs
Comparison fields: 5 of 122
  • Neurology 1.0k
  • Cellular and Molecular Neuroscience 791
  • Neurology 341
  • Sensory Systems 152
  • Developmental Neuroscience 75
Replace YuHong Fu with:
YuHong Fu Australia
Yasuhiro Manabe Japan
Tapan P. Patel United States
Ruth Chia United States
Lluı́s Samaranch United States
Fang Cai China
Peter J. Bergold United States
Ida E. Holm Denmark
Aidong Yuan United States
Mala V. Rao United States
Julia Fuchs relative to YuHong Fu Australia YuHong Fu's profile →
Citations per field
00.5×2.9×
YuHong Fu · 1×
Citations per year

Countries citing papers authored by Julia Fuchs

Since Specialization
Citations

This map shows the geographic impact of Julia Fuchs's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Julia Fuchs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Fuchs more than expected).

Fields of papers citing papers by Julia Fuchs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia Fuchs. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Julia Fuchs. The network helps show where Julia Fuchs may publish in the future.

Co-authors

The 25 scholars most cited alongside Julia Fuchs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Julia Fuchs Line = papers co-authored together Julia Fuchs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007277
2 2008260
3 2007200
4 2005183
5 2011110
6 200791
7 200976
8 201471
9 201860
10 201049
11 200345
12 200940
13 200840
14 201539
15 200438
16 201536
17 201833
18 200032
19 201532
20 201031

About Julia Fuchs

Julia Fuchs is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Sensory Systems, Neurology and Cancer Research, having authored 60 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (11 papers), Parkinson's Disease Mechanisms and Treatments (9 papers), Advanced biosensing and bioanalysis techniques (8 papers), Nuclear Receptors and Signaling (8 papers), RNA regulation and disease (4 papers), Advanced Biosensing Techniques and Applications (4 papers), Neuroscience of respiration and sleep (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Neurology (1.0k citations), Cellular and Molecular Neuroscience (791 citations), Neurology (341 citations), Sensory Systems (152 citations) and Developmental Neuroscience (75 citations). Julia Fuchs has collaborated with scholars based in Germany, France and Austria. Frequent co-authors include Thomas Gasser, Alain Prochiantz, Rajiv L. Joshi, Marita Munz, Jakob C. Mueller, Daniela Berg, Matthew J. Farrer, Jennifer M. Kachergus, J. William Langston and Mary Hulihan. Their work appears in journals such as Hearing Research, Physiological Research, FEBS Letters, Annals of Neurology and Developmental Neurobiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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